Timothy J. Panella

33 total papers · 660 total citations
27 papers, 562 citations indexed

About

Timothy J. Panella is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Timothy J. Panella has authored 27 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 7 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Timothy J. Panella's work include Melanoma and MAPK Pathways (3 papers), HER2/EGFR in Cancer Research (3 papers) and Cancer Research and Treatments (3 papers). Timothy J. Panella is often cited by papers focused on Melanoma and MAPK Pathways (3 papers), HER2/EGFR in Cancer Research (3 papers) and Cancer Research and Treatments (3 papers). Timothy J. Panella collaborates with scholars based in United States, United Kingdom and Italy. Timothy J. Panella's co-authors include David C. Smith, M. Perenna Rogers, D L Trump, Eric P. Winer, Robert L. Fine, S. Clifford Schold, Peter Ellis, V. Craig Jordan, Amila Orucevic and R. Eric Heidel and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.

In The Last Decade

Timothy J. Panella

25 papers receiving 546 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Timothy J. Panella 259 213 104 86 67 27 562
Shelley Hoover 271 1.0× 289 1.4× 121 1.2× 82 1.0× 41 0.6× 21 648
Christoph M. Ahlers 285 1.1× 231 1.1× 62 0.6× 70 0.8× 81 1.2× 38 688
Magda Lourda 269 1.0× 239 1.1× 61 0.6× 45 0.5× 56 0.8× 23 642
Oscar De La Calle-Martin 242 0.9× 155 0.7× 82 0.8× 52 0.6× 35 0.5× 35 688
Gary Li 192 0.7× 345 1.6× 73 0.7× 88 1.0× 34 0.5× 31 677
Shitao Zou 146 0.6× 431 2.0× 184 1.8× 61 0.7× 40 0.6× 38 644
John Anderson 290 1.1× 260 1.2× 56 0.5× 40 0.5× 77 1.1× 18 611
Paul H. Fischer 259 1.0× 289 1.4× 70 0.7× 47 0.5× 105 1.6× 26 540
Minggao Guo 86 0.3× 250 1.2× 165 1.6× 30 0.3× 38 0.6× 27 519
Damien A. Leach 146 0.6× 239 1.1× 130 1.3× 196 2.3× 38 0.6× 32 575

Countries citing papers authored by Timothy J. Panella

Since Specialization
Citations

This map shows the geographic impact of Timothy J. Panella's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Timothy J. Panella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy J. Panella more than expected).

Fields of papers citing papers by Timothy J. Panella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. Panella. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Timothy J. Panella. The network helps show where Timothy J. Panella may publish in the future.

Co-authorship network of co-authors of Timothy J. Panella

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. Panella. A scholar is included among the top collaborators of Timothy J. Panella based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Timothy J. Panella. Timothy J. Panella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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